• Structural Engineering and Mechanics
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• 제22권6호
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• pp.665-683
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• 2006

The strength behaviors of Fiber Reinforced Plastics (FRP) Composites can be greatly influenced by the properties of constitutive materials, the laminate structures, and load conditions etc, accompanied by many uncertainty factors. So the reliability study on FRP is an important subject of research. Many achievements have been made in reliability studies based on the probability theory, but little has been done on the roles played by fuzzy variables. In this paper, a fuzzy reliability model for FRP laminates is established first, in which the loads are considered as random variables and the strengths as fuzzy variables. Then a numerical model is developed to assess the fuzzy reliability. The Monte Carlo simulation method is utilized to compute the reliability of laminas under the maximum stress criterion. In the second part of this paper, a generalized fuzzy reliability model (GFRM) is proposed. By virtue of the fact that there may exist a series of states between the failure state and the function state, a fuzzy assumption for the structure state together with the probabilistic assumption for strength parameters is adopted to construct the GFRM of composite materials. By defining a generalized limit state function, the problem is converted to the conventional reliability formula that enables the first-order reliability method (FORM) applicable in calculating the reliability index. Several examples are worked out to show the validity of the models and the efficiency of the methods proposed in this paper. The parameter sensitivity analysis shows that some of the mean values of the strength parameters have great influence on the laminated composites' reliability. The differences resulting from the application of different failure criteria and different fuzzy assumptions are also discussed. It is concluded that the GFRM is feasible to use, and can provide an effective and synthetic method to evaluate the reliability of a system with different types of uncertainty factors.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1999년도 전력전자학술대회 논문집
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• pp.58-61
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• 1999

This paper describes the program of optimally choosing parameter in designing inductor, which applied by fuzzy theory, and verifies the reliability of program to use in design of power supply of electronic machine and information communication. It is available to find optimal value of complex and various parameter, such as core, winding, winding number, and air-gap, etc., needed on designing inductor. We expects to minimize time and cost of inductor design.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.445-450
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• 2008

The primary role of traction power systems is to provide reliable and continuous electrical energy to satisfy traction loads. AC traction substation transforms power from generation company and supply the power to the electric railway power line. Forced outage rate(FOR) of the equipment of substation should be used in the evaluation. This paper proposes the fast and easy way to evaluate by using Bayes' theory when a new equipment is added to the existing substation facility.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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• pp.1047-1050
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• 1993

In radiation protection and nuclear safety, there are many uncertainties or fuzziness due to subjective human judgement. It is desirable to have a theory by which both non-probabilistic uncertainties, or fuzziness, of human factors and the probabilistic properties of machines can be treated consistently. Fuzzy set theory seems to be an effective tool for analyzing the risk and safety of complex man-machine systems such as nuclear power plants.

• 대한전기학회논문지
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• 제37권2호
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• pp.73-79
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• 1988

A fault current in Simultaneous faults is calulated, which satisfies the reliability for expansion of power scale. New algorithm for analyzing fault current is developed, which calculates exactly thevnin equivalent impedance from fault point by cecomposing increment bus admittance matrix ( Ybus), and fault current is calculated by applying multiport theory. The signeficant results are as follows ` 1) When system fault changes system configulation, equivalent impedance can be calculated simply with this new algorithm. 2) Mutual coupling of transmission line can be calculated efficiently. 3) Simultaneous fault current is analyzed by applying multiport theory, which can be applicable to large scale systems.

• 기술혁신연구
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• 제12권1호
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• pp.67-114
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• 2004

This study attempts to integrate causal model with competitiveness evaluation model, both of which have developed independently of each other, in connection with many studies on PMES (performance measurement and evaluation system) including the BSC (balanced scorecard) of Kaplan and Norton (1992, 1996). For this attempt, this study is composed of four analyses : First, this study develops a structural model for evaluating and diagnosing corporate ‘comprehensive’ competitiveness including quality competitiveness, derive CCI (comprehensive competitiveness index) and QCI (quality competitiveness index) ; Second, this study analyzes the determinants of quality competitiveness, the impacts of quality competitiveness, on product design and product reliability, and the impacts of product design and product reliability on quality competitiveness in the comprehensive competitiveness evaluation model of this study. Third, this study empirically identifies the positioning of product design in the quality competitiveness evaluation model of this study and the functional relationship between product design and other functions : product development, manufacturing, marketing, and marketing, and sales in the same comprehensive competitiveness evaluation model, estimate the determinants of product design and its impacts, thereby providing some empirical findings for the foundation of design management theory, and Fourth, this study identifies the positioning of product reliability in the same quality competitiveness evaluation model, estimate the reliability function and the functional relationship between product reliability and other dimensions of product quality, and tests the hypotheses on the causality of product reliability.

• Journal of Electrical Engineering and Technology
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• 제8권3호
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• pp.421-427
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• 2013

The dependence between wind speeds in multiple wind sites has a considerable impact on the reliability of power systems containing wind energy. This paper presents a new method to generate dependent wind speed time series (WSTS) based on copulas theory. The basic feature of the method lies in separating multivariate WSTS into dependence structure and univariate time series. The dependence structure is modeled through the use of copulas, which, unlike the cross-correlation matrix, give a complete description of the joint distribution. An autoregressive moving average (ARMA) model is applied to represent univariate time series of wind speed. The proposed model is illustrated using wind data from two sites in Canada. The IEEE Reliability Test System (IEEE-RTS) is used to examine the proposed model and the impact of wind speed dependence between different wind regimes on the generation system reliability. The results confirm that the wind speed dependence has a negative effect on the generation system reliability.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 추계학술대회 논문집 전력기술부문
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• pp.361-364
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• 2002

The paper presents a basic study on reliability evaluation using METRIS for long term expansion planning of transmission system. The main frame of methodelogy of the reliability evaluation of a transmission system in the METRIS is based on evaluation philosophy that the reliability level of a transmission system is equal to difference between the reliability level of HLII and that of HLI. While basic general theory of probabilistic reliability evaluation of transmission system has been presented, the GUI characteristics of input/out data system of METRIS have been demonstrated by the RBTS case study on METRIS.

• Geomechanics and Engineering
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• 제24권2호
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• pp.167-178
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• 2021

Spatial variability is an inherent uncertainty of soil properties. Current reliability analyses generally incorporate random field theory and Monte Carlo simulation (MCS) when dealing with spatial variability, in which the computational efficiency is a significant challenge. This paper proposes a KL-FORM algorithm to improve the computational efficiency. In the proposed KL-FORM, Karhunen-Loeve (KL) expansion is used for discretizing random fields, and first-order reliability method (FORM) is employed for reliability analysis. The KL expansion and FORM can be used in conjunction, through adopting independent standard normal variables in the discretization of KL expansion as the basic variables in the FORM. To illustrate the effectiveness of this KL-FORM, it is applied to a case study of a strip footing in spatially variable unsaturated soil under rainfall, in which the bearing capacity of the footing is computed by numerical simulation. This case study shows that the KL-FORM is accurate and efficient. The parametric analyses suggest that ignoring the spatial variability of the soil may lead to an underestimation of the reliability index of the footing.

• 디지털융복합연구
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• 제6권3호
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• pp.75-84
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• 2008

The purpose of our this research, based on the Media Selection Theory, the Technology Acceptance Model, and the Social Influence Theory, is to investigate the influential factors that affect media selection in banking transactions. Analyses showed that for location sensitive bank window's and ATMs (automatic teller machines), defined as offline-based transaction channels, convenience was the variable affecting media selection. However, in the case of online media not related to location, (phone banking, internet banking, and mobile banking) reliability was the significant variable influencing use. The findings show that banking organizations may benefit from identifying traits of media affecting use, and should differentiate customer services for competitive advantage.